A Rapid Learning Algorithm of Feedforward Neural Network for Identification of Aeroengine Model

WANG Li feng; LI Zheng xi

Chinese

您当前的位置：

首页 >

文章列表页 >

A Rapid Learning Algorithm of Feedforward Neural Network for Identification of Aeroengine Model

更新时间：2026-07-07

- A Rapid Learning Algorithm of Feedforward Neural Network for Identification of Aeroengine Model
- Vol. 18, Issue 5, (2003)
- 作者机构：
  
  北方工业大学机电工程学院,北京,100041
- 作者简介：
- 基金信息：
- DOI：
  CLC：
- Published：2003
- 稿件说明：
移动端阅览
WANG Li feng, LI Zheng xi. A Rapid Learning Algorithm of Feedforward Neural Network for Identification of Aeroengine Model[J]. 2003, 18(5).
DOI：

WANG Li feng, LI Zheng xi. A Rapid Learning Algorithm of Feedforward Neural Network for Identification of Aeroengine Model[J]. 2003, 18(5). DOI：

摘要

介绍一种采用前向神经网络辨识发动机非线性模型的快速学习方法

与现有同类方法相比

该方法采用矩阵的QR分解求解线性方程组

解决了维数过高的矩阵直接求逆带来的解失真问题

并把这种方法应用于航空发动机的非线性模型辨识。算例仿真验证了算法的可行性。

Abstract

To build a precise model is a key technique to aeroengine adaptive control.A rapid learning algorithm of feedforward neural network for identification of aeroengine model is presented in the paper.By contrast with similar algorithms

the present approach employs the decomposition of Matrix QR to solve a set of linear equations.As a result

inversing of huge matrix inverse and fuzzy solutions can be avoided.The algorithm was applied to the aeroengine nonlinear model identification

and validated by the simulation results of the calculation samples.

关键词

Keywords

references

Views

460

下载量

CSCD

Alert me when the article has been cited

提交

Tools

Publicity Resources

Fault diagnosis for gas turbine engines based on Kalman filter and neural networks

Intelligent perf ormance diagnosis of aeroengine withsensor measurement bias

Aeroengine Gas Path Fault Diagnosis Using Rough Sets and Neural Networks

Hardware in the Loop Simulation of Minitype Turbojet Engine Digital Control Regulator

Study of Adjusting Aeroengine Starting Fuel Supply in the Plateau Area

Related Author

YAO Hua

SHAN Gui-ping

SUN Jian-guo

YUAN Chun-fei

YAO Hua

CHEN Tian

CHENG Tao

QIAO Hong xin

Related Institution

College of Energy and Power Engineering,Nanjing University of Aeronautics and Astronautics

Aviation Motor Control System Research Institute, China Aviation Industry Corporation Ⅰ

Aviation Motor Control System Institute, China Aviation Industry CorporationⅠ

School of Jet Propulsion, Beijing University of Aeronautics and Astronautics

Northwestern Polytechnical University

AI问答

Postal code：100079
Tel：（010）53879206 Email：tmw@bjxintong.com.cn
Technical support is provided by Beijing Founder electronics co., LTD 京ICP备09082226号-64 京公网安备11010602201714号
It is recommended to read the content of this site in Chrome&IE9+. Please switch to extreme mode in browser 360.
Cookies We use cookies to help provide and enhance our service and tailor content. By continuing, you agree to the use of cookies.

⁰